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The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid or dryland tropics has over 2 billion people, and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these poor people to overcome poverty, hunger and a degraded environment through better agriculture.
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11 to 20 of 196 Results
23 Jul, 2013 - Social Science
Asfaw, Solomon; Shiferaw Bekele, 2016, "TL II & IFAD Baseline Surveys - Tanzania", doi:10.21421/D2/9LVIZS, ICRISAT Dataverse, V1
Random sampling was done in four districts of Northern Tanzania namely Kondoa, Karatu, Babati and Arameru. From each these districts three major Pigeonpea growing divisions were selected and two wards were surveyed from each of these divisions. Twenty five farmers were then rando...
23 Aug, 2012 - Social Science
ICRISAT; EIAR, 2016, "TL II & IFAD Baseline Surveys - Kenya", doi:10.21421/D2/QNBRQK, ICRISAT Dataverse, V1
Baseline Surveys - Kenya funded by TLII and IFAD
23 Jul, 2012 - Social Science
Asfaw, Solomon; Shiferaw Bekele, 2016, "TL II & IFAD Baseline Surveys - Ehiopia", doi:10.21421/D2/I6TG2R, ICRISAT Dataverse, V1
Three districts namely Gimbichu, Lume-Ejere, Minjar-Shenkora were selected by a combination of stratified and purposive sampling methods were surveyed. From each of these 3 districts 8 kebeles (wards) were selected ,from which a total of 700 households (400 households covered und...
9 Sep, 2016 - Phenotypic
Vadez, Vincent; Kholova Jana; Dharani Suresh, 2016, "The change in production due to lower TR in standard cultivar and virtually improved standard cultivar in APSIM.", doi:10.21421/D2/SYZTNB, ICRISAT Dataverse, V1
The map series show (i) simulated (APSIM) production of rabi sorghum standard cultivar (biomass and yield of M35-1, maldandi type) and simulated (APSIM) production of virtually improved standard cultivar (biomass and yield of M35-1, maldandi type, with lower transpiration rate (T...
17 Dec, 2014 - Social Science
Nedumaran S; Bantilan MCS; Charyulu Kumara D; D Moses Shyam; P Parthasarathy Rao; Deb UK; GD Nageswara Rao, 2016, "Targeting of Grain Legumes for Income and Nutritional Security in South Asia", doi:10.21421/D2/M7ABMT, ICRISAT Dataverse, V1
The Tropical Legumes II (TL-II) project, funded by the BMGF, aims to improve the lives and livelihoods of smallholder farmers in the drought-prone areas of sub-Saharan Africa (SSA) and South Asia through improved productivity and production of six major tropical legumes – Chickpe...
9 Jan, 2015 - Social Science
Charyulu Kumara D; D Moses Shyam; Dakshina Murthy Kadiala; Murali Krishna Gumma; Bantilan MCS; Rao KPC; Nedumaran S; Srinivasa Srigiri; Ramilan T, 2016, "Sustainable Intensification of Agricultural Productivity in Semi-Arid-Tropics (SAT) of India – Case studies", doi:10.21421/D2/MVWGRR, ICRISAT Dataverse, V1
Sustainable intensification is a term now much used in discussions around the future of agriculture and food security. Semi-arid tropics have largely remained outside the process of excessive intensification, due to the paucity of water. Rather agricultural intensification was re...
30 Jan, 2014 - Social Science
Charyulu Kumara D; D Moses Shyam, 2016, "Survey Guidelines and Documentation for Chickpea Technology Adoption and Impact Study in Andhra Pradesh", doi:10.21421/D2/MASLIK, ICRISAT Dataverse, V1
This study on adoption and diffusion of improved Chickpea short duration varieties is a part of a global initiative to assess the impacts of legumes research in the CGIAR, supported by SPIA contributes to generating more reliable information on key aspects of adoption and diffusi...
17 Jul, 2012 - Phenotypic
Gupta SC, 2016, "Study of Pollination in Pigeonpea", doi:10.21421/D2/AQCPLZ, ICRISAT Dataverse, V1
Objective of the project is to determine the pollen vectors and study their activity, determine distance necessary for isolation,determine extent of crossing on plants in different arrangements and with different relative frequencies, determine planting arrangement necessary for...
25 Oct, 2016 - Genotypic
Punna Ramu; S. P. Deshpande; S. Senthilvel; B. Jayashree; C. Billot; M. Deu; L. Ananda Reddy; C. T. Hash, 2016, "SSR and QTL map of Sorghum", doi:10.21421/D2/QTQI9R, ICRISAT Dataverse, V1
Genetic map of sorghum consisting of SSRs and QTLs CMap Visualization Links: SorghumMarkers-QTLs Sorghum SSR Markers DOI: doi:10.1007/s11032-009-9365-9
Sep 8, 2016
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